Tailored Management

Data Annotator

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Annotator (Linguist II) on a 9-month contract, paying $47.46/hr, remote. Requires a Master's in Linguistics, native fluency in Portuguese, data analysis skills (SQL, RegEx), and familiarity with LLMs and prompt engineering.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
376
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πŸ—“οΈ - Date
December 6, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Libraries #Python #Unix #Data Quality #Visualization #SQL (Structured Query Language) #Data Analysis #R #ML (Machine Learning) #NLP (Natural Language Processing)
Role description
Job Title: Linguist II Location: Remote Contract: 9 months contract - May be extensions Pay Rate: $47.46/hr, W2 Benefits: Medical, Dental, Vision and Weekly Pay Job Summary: We are looking for a Linguist to help us develop language components for a variety of voice-enabled technologies and products. We are seeking candidates with native fluency in Brazilian Portuguese and/or European Portuguese, with strong linguistic data analysis and language technology experience to manage data collection, LLM-powered data synthesis and data annotation tasks, prompt engineering, localization and quality evaluations. Job Responsibilities: β€’ Provide linguistic expertise in the areas of syntax, semantics, pragmatics and sociolinguistics β€’ Collaborate with other linguists and data operations teams in data collection, data curation, translation, localization and annotation efforts β€’ Evaluate and curate data sets for ML models using LLM solutions β€’ Assess model and data quality β€’ Prompt engineering β€’ Collaboratively develop complex and consistent linguistic analyses Required Qualifications: β€’ Master’s degree in general Linguistics or Linguistics with an emphasis on Romance languages, Computational Linguistics, Speech Science, or related field β€’ Native or near-native fluency in Brazilian Portuguese and/or European Portuguese, and at least another language β€’ Awareness of different Portuguese varieties and their linguistic, cultural, local nuances β€’ Knowledge of syntax, semantics, pragmatics, sociolinguistics, corpus linguistics, and other areas of linguistics β€’ Experience working with speech and text data in multiple languages β€’ Familiar with Large Language Models (LLMs), prompt engineering and their applications β€’ Experience with database queries and data analysis processes (i.e. SQL, RegEx, spreadsheets, R, Unix, or others) β€’ Comfortable working in a fast paced, highly collaborative, dynamic work environment β€’ Strong organizational skills and detail oriented β€’ Excellent communication skills both verbal and written Preferred (additional) Qualifications: β€’ PhD in Linguistics or Romance languages, language technologies, computational linguistics, speech science, or related field β€’ Proficiency in Python β€’ Experience with machine learning frameworks, NLP Libraries and Tools Must Have Skills: Proficient in Portuguese language Masters degree or bachelors degree with 3 years of experience in industry data linguistic, RegEx, SQL, data analytics, data visualization Nice to Have: Python language additional Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. #TMN